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| Criterion |  Decision Making Decision Matrix |  Product Discovery Pretotyping |  Growth A/B Testing |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | 45-90 min | Stunden bis wenige Tage | 1-4 Wochen | 30-60 min |
Participantsdifferent | 2-8 | 1-4 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Decision Matrix, Scoring Rationale, Selected Option | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List |
Tagsno overlap | DecisionCriteriaScoringTradeoffs | ValidationDemandMVP | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision |